Comparison Overview
Chick-fil-A Restaurants

Chick-fil-A Restaurants
5200 Buffington Rd, Atlanta, GA, US, 30349
Last Update: 04/04/2026
Chick-fil-A, Inc. is the third largest quick-service restaurant company in the United States, known for its freshly-prepared food, signature hospitality and unique franchise model. More than 200,000 Team Members are employed by independent Owner-Operators in more than 3...

Raising Cane's Chicken Fingers
6800 Bishop Rd, Plano, 75024, US
Last Update: 05/04/2026
Founded by Todd Graves in 1996 in Baton Rouge, La., RAISING CANE'S CHICKEN FINGERS has over 800 restaurants in 41 states, with many new restaurants under construction. The company has ONE LOVE®—craveable chicken finger meals—and is continually recognized for its unique ...
Compliance Ranges Comparison

Chick-fil-A Restaurants







Raising Cane's Chicken Fingers






Benchmark & Cyber Underwriting Signals
Incidents vs Restaurants Industry Avg (This Year)
No incidents recorded for Chick-fil-A Restaurants in 2026.
Incidents vs Restaurants Industry Avg (This Year)
No incidents recorded for Raising Cane's Chicken Fingers in 2026.
Incident History - Chick-fil-A Restaurants (X = Date, Y = Severity)
Chick-fil-A Restaurants cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Raising Cane's Chicken Fingers (X = Date, Y = Severity)
Raising Cane's Chicken Fingers cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Chick-fil-A Restaurants

Raising Cane's Chicken Fingers
FAQ
Latest Global CVEs
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.